Evidence map›Paper›PMID 22654508›Full record

ArticlePatient preference and adherence2012

Treatment-resistant depression: therapeutic trends, challenges, and future directions.

Khalid Saad Al-Harbi

3 registry-linked trialsOpen access · goldAbstract read
In one paragraph

Article in Patient preference and adherence, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 373 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
373citing papers in PubMed, 9 pooled it
7.3field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT03952494 nawithdrawnnot on this mapstarted 2022, after this paper: background citation

The myGenes Study:Individualizing Antidepressant Treatment Using Pharmacogenomics and EHR-driven Clinical Decision Support

TypeinterventionalSponsorWeill Medical College of Cornell UniversityRan2022 to 2023Enrolled0ConditionsDepressionArmsGenomind®Professional PGx Express TM
NCT04342299 completednot on this mapstarted 2018, after this paper: background citation

The Antidepressant Advisor: A Decision Support System for UK Primary Care - a Feasibility Study: Study 3

TypeobservationalSponsorKing's College LondonRan2018 to 2021Enrolled45ConditionsMajor Depressive Disorder
NCT05539495 completednot on this mapstarted 2022, after this paper: background citation

Exercise Recovery From Persistent Major Depression in a UK Tertiary Care Centre: A Qualitative Thematic Analysis of Barriers and Drivers to Participation in a Structured Group Exercise Program

TypeobservationalSponsorUniversity of NottinghamRan2022 to 2024Enrolled12ConditionsMajor Depressive Disorder, Depression Moderate, Depression Severe
3 · Its place in the literature

Who cites it

373 citing papers in PubMed, 9 syntheses or guidelines pooled it, 742 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Pooled it
  8. Pooled it
  9. Pooled it
  10. Trial
  11. Trial
  12. Trial
  13. Trial
  14. Trial
  15. Review
  16. Oncology Providers' Perspectives on Psychedelic-Assisted Therapy.The American journal of hospice & palliative care · 2026
    Article
  17. Article
  18. Review
  19. Review
  20. Review

313 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

Khalid Saad Al-HarbiMedical College, King Saud Bin Abdulaziz University for Health Sciences, King Abdulaziz Medical City, Riyadh, Kingdom of Saudi Arabia.
King Saud bin Abdulaziz University for Health Sciences · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients with major depression respond to antidepressant treatment, but 10%-30% of them do not improve or show a partial response coupled with functional impairment, poor quality of life, suicide ideation and attempts, self-injurious behavior, and a high relapse rate. The aim of this paper is to review the therapeutic options for treating resistant major depressive disorder, as well as evaluating further therapeutic options.

methodsIn addition to Google Scholar and Quertle searches, a PubMed search using key words was conducted, and relevant articles published in English peer-reviewed journals (1990-2011) were retrieved. Only those papers that directly addressed treatment options for treatment-resistant depression were retained for extensive review.

resultsTreatment-resistant depression, a complex clinical problem caused by multiple risk factors, is targeted by integrated therapeutic strategies, which include optimization of medications, a combination of antidepressants, switching of antidepressants, and augmentation with non-antidepressants, psychosocial and cultural therapies, and somatic therapies including electroconvulsive therapy, repetitive transcranial magnetic stimulation, magnetic seizure therapy, deep brain stimulation, transcranial direct current stimulation, and vagus nerve stimulation. As a corollary, more than a third of patients with treatment-resistant depression tend to achieve remission and the rest continue to suffer from residual symptoms. The latter group of patients needs further study to identify the most effective therapeutic modalities. Newer biomarker-based antidepressants and other drugs, together with non-drug strategies, are on the horizon to address further the multiple complex issues of treatment-resistant depression.

conclusionTreatment-resistant depression continues to challenge mental health care providers, and further relevant research involving newer drugs is warranted to improve the quality of life of patients with the disorder.

Indexed as

antidepressantsbiomarkerssomatic therapiestherapeutic optionstreatment-resistant depression

Identifiers

PMID22654508
PMCPMC3363299
OpenAlexW2016292245

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.